What should happen after the PRD has been approved?
Turn an approved PRD into coordinated architecture, design, implementation increments, and verification plans while keeping requirements traceable.
What should happen after the PRD has been approved?
Approval of a PRD establishes an agreed product baseline for the next stage of work. It does not mean every technical detail is settled or that requirements can never change. The next step is to turn the documented outcomes into a feasible design and a sequence of verifiable implementation tasks.
Develop the supporting design documents
Use the PRD to discuss system architecture, technology choices, data ownership, database relationships, and API boundaries. In a wedding app, event-specific RSVPs should remain consistent across the guest journey, data model, and endpoint contract.
Develop interface flows and important states alongside those technical decisions. Resolve contradictions while changes are still easy to discuss.
AI can draft alternatives and identify gaps, but the team should review decisions against the approved scope and constraints.
Plan small, complete implementation increments
Break the first release into workflows with clear acceptance criteria. A first slice might let an organizer create a wedding and see it on a dashboard. Later slices can add events, tasks, and invitations.
Identify dependencies and choose a sequence that reaches useful checkpoints. Include necessary permission checks, failure behavior, and verification work in each slice rather than postponing them indefinitely.
Store the current documents where contributors and coding assistants can find them.
Build, verify, and maintain alignment
For each increment, provide the relevant PRD sections, design references, and technical context. Review the resulting changes and test the agreed behavior.
When implementation reveals a product question, resolve it and update affected documents before continuing with assumptions. Keep deployment and feedback plans connected to the first release’s goals.
The approved PRD becomes the starting reference for delivery, while ongoing evidence determines which details need refinement.
They should first establish enough architecture, data, API, and interface direction to support the next bounded workflow. Large generation requests can still hide unresolved technical and product decisions.
Select a core user outcome, identify its dependencies, and attach observable acceptance criteria. Provide those requirements and relevant technical context to the people or AI assistants implementing the slice.
Yes. They should review the reason and impact, record the decision, and update related work. Approval creates a shared baseline rather than making future learning irrelevant.
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